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Design Estimation of the Hybrid Power Source Railway Vehicle based on the Multiobjective Optimization by the Dynamic Programming
Author(s) -
Ogawa Tomoyuki,
Yoshihara Hiroaki,
Wakao Shinji,
Kondo Keiichiro,
Kondo Minoru
Publication year - 2008
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20233
Subject(s) - hybrid power , hybrid vehicle , hybrid system , power (physics) , computer science , control engineering , automotive engineering , domain (mathematical analysis) , engineering , mathematical analysis , physics , mathematics , quantum mechanics , machine learning
Abstract The power source of hybrid railway vehicles consists of both generation and energy storage devices. The hybrid vehicles have a high degree of freedom in the system design because they have different power sources. Therefore, it is difficult to establish generalized design methods of the power system. Various patterns of device capacities of generation and energy storage equipments are available for the hybrid vehicle. And various types of power control strategies are also selectable. With this background, this paper proposes a globally searched design estimation method for hybrid vehicles, which is based on multiobjective optimization by dynamic programming. The proposed method enables us to globally clarify the optimal candidates in accordance with various railway lines from a wide search domain. This results in various design concepts of the hybrid vehicles. Then, this paper confirms that the proposed method provides effective design guidelines for the conceptual design of the hybrid vehicles. Therefore the proposed method is useful for the design problem of hybrid vehicles that have a higher degree of freedom compared to electric railway vehicles. Copyright © 2007 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.